Computer Engineering MA, Computer Graphics

Education facts

Code: DT082A

The student should develop a basic understanding of current machine learning techniques for mining large quantities of data. The student should develop skills in finding interesting patterns and building prediction models by explorative data analysis using data analysis tools based on R or Python, and preparing input, interpreting output and critically evaluating results. The student should show an ability to apply the skills in a small project in an real-world business or engineering application area such as big data visualization, business intelligence analysis, decision support systems, text/web/sensor/geo data mining, context aware applications, intelligent agents or cognitive radio.

Entry requirements

Computer Engineering BA (A-C), 90 credits, including 15 credits in programming in C++/Python/Matlab. Mathematics BA (A), 30 credits, including Linear Algebra, 6 credits. Computer Engineering MA, Signal and Image Processing, 6 credits.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Computer Engineering MA, Computer Graphics

  Mid Sweden University

  Start date: 2 November 2026

  End date: 17 January 2027

  Pace of study: 50 %